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Huikang Liu
Summary
Preprints
Journal Articles
Huikang Liu, Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling. A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence.
IEEE Transactions on Signal and Information Processing over Networks, 2023. [pdf]
Josh D’Aeth, Shubhechyya Ghosal, Fiona Grimm, David Haw, Esma Koca, Krystal Lau, Huikang Liu, Stefano Moret, Dheeya Rizmie, Peter Smith, Giovanni Forchini, Marisa Miraldo, Wolfram Wiesemann.
Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic. Management Science, 2023. [pdf]
Huikang Liu, Xiaolu Wang, Anthony Man-Cho So. Adaptive Coordinate
Sampling for Stochastic Primal-Dual Methods, 2020. [pdf]
Huikang Liu, Anthony Man-Cho So, Weijie Wu. Quadratic Optimization with Orthogonality Constraint: Explicit Łojasiewicz Exponent and Linear Convergence of Retraction-Based Line-Search
and Stochastic Variance-Reduced Gradient Methods. Mathematical Programming, Series A, 2019. [pdf]
Huikang Liu, Man-Chung Yue, Anthony Man-Cho So. On the Estimation Performance and Convergence Rate of the Generalized Power Method for Phase Synchronization. SIAM Journal on Optimization, 2017, 27(4):2426-2446. [pdf]
Refereed Conference Articles
Peng Wang, Huikang Liu, Zirui Zhou, Anthony Man-Cho So. Near-Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Gradient Method. To appear in Proceedings of 38th International Conference on Machine Learning (ICML 2021), 2021.
Huikang Liu, Xiaolu Wang, Jiajin Li, Anthony Man-Cho So. Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients. To appear in Proceedings of 25th International Conference on Pattern Recognition (ICPR 2020), 2020. [pdf][supplementary material]
Huikang Liu, Zengde Deng, Xiao Li, Shixiang Chen, Anthony Man-Cho So. Nonconvex Robust Synchronization of Rotations. To appear in Proceedings of 12th Annual Workshop on Optimization for Machine Learning (OPT 2020), 2020. [pdf]
Huikang Liu, Ruiyuan Wu, Wing-Kin Ma. Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for HyperspectralSuper-Resolution?. To appear in Proceedings of 2019 IEEE International Workshop on Computational Ad-vances in Multi-Sensor Adaptive Processing (CAMSAP 2019), 2019. [pdf]
Huikang Liu, Peng Wang, Anthony Man-Cho So. Fast First-Order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints. To appear in Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), 2019. [pdf][poster]
Peng Wang, Huikang Liu, Anthony Man-Cho So. Globally Convergent Accelerated Proximal Alternating Maximization Method for L1-Principal Component Analysis. To appear in Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), 2019. [pdf]
Rujun Jiang, Huikang Liu, Anthony Man-Cho So. LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming. Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018), 2018. [pdf]
Huikang Liu, Yuen-Man Pun, Anthony Man-Cho So. Local Strong Convexity of Maximum-Likelihood TDOA-Based Source Localization and Its Algorithmic Implications. Proceedings of the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), 2017. [pdf]
Huikang Liu, Man-Chung Yue, Anthony Man-Cho So, Wing-Kin Ma. A Discrete First-Order Method for Large-Scale MIMO Detection with Provable Guarantees. Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), pp. 669-673, 2017. [pdf][code]
Huikang Liu, Weijie Wu, Anthony Man-Cho So. Quadratic Optimization with Orthogonality Constraints: Explicit Łojasiewicz Exponent and Linear Convergence of Line-Search Methods. Proceedings of the 33rd International Conference on Machine Learning (ICML 2016), pp. 1158-1167, 2016. [pdf + supplementary material]
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